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Innovative Visual Cipher: Enhancing File Security With Noise Images in Quantum Networks and AI Applications
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Author(s): Nishant Bhaskar Singh (Sathyabama Institute of Science and Technology, India), V. Kumar (Sathyabama Institute of Science and Technology, India)and P. Ajitha (Sathyabama Institute of Science and Technology, India)
Copyright: 2025
Pages: 20
Source title:
Multidisciplinary Applications of AI and Quantum Networking
Source Author(s)/Editor(s): Christo Ananth (Samarkand State University, Uzbekistan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq)and Jose Anand (KCG College of Technology, India)
DOI: 10.4018/979-8-3693-9336-9.ch009
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Abstract
Cloud computing's central role in contemporary data storage and sharing escalates the challenge of safeguarding sensitive information. This chapter introduces a groundbreaking approach to file encryption within cloud environments, capitalizing on the concept of noise images and their application in quantum networks and AI. Departing from conventional methods, this approach embeds visual noise patterns into the encryption process, markedly fortifying data security. The study commences with a comprehensive examination of the limitations inherent in traditional encryption techniques within cloud settings, elucidating vulnerabilities like data leakage and unauthorized access. To counteract these vulnerabilities, a pioneering encryption algorithm is presented, seamlessly integrating noise images derived from sophisticated mathematical models. These noise images function as dynamic and unpredictable encryption keys, substantially augmenting the security posture of cloud-stored data.
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